How Artificial Intelligence is Driving the Memory Market for Autonomous and Connected Vehicles - Global Trade Magazine
  September 9th, 2020 | Written by

How Artificial Intelligence is Driving the Memory Market for Autonomous and Connected Vehicles

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One of the important technologies that have emerged over the past few is that of artificial intelligence (AI). The technology is being utilized in various industries for making processes and operations simpler. Just like other industries, AI is also being widely utilized in the automotive industry for making vehicles safer and more secure. The technology is being utilized in infotainment systems that are now serving as personal assistants, aiding the driver by offering efficient navigational support, and responding to voice commands. This increasing utilization of AI is creating wide data storage capacity.

Autonomous and connected cars are generating large amounts of data, since they are extensively making use of electronic functions for providing greater efficiency, greater safety, driver assist capabilities, richer telemetric and entertainment functions, and communication between local networks and vehicles. Owing to these factors, the global memory market for autonomous and connected vehicles generated a revenue of $4,310.8 million in 2019 and is predicted to advance at a 23.9% CAGR during the forecast period (2020–2030), as per a report by P&S Intelligence. The major applications of the memory market in the automotive industry are telematics, navigation, and infotainment.

Out of these, the largest amount of data was generated by navigation features in the past, which can majorly be attributed to the surging adoption of these systems in vehicles. Navigation systems generate data related to alternative routes, shortest route, and traffic or checkpoints on the road, and need efficient storage mechanism. Apart from this, the telematics application is also predicted to make create demand for data storage capacity in the coming years, which is particularly because of the increasing preference for autonomous and connected vehicles. The system captures data via sensors, radars, and cameras.

Different types of memories in the automotive industry are NOT-AND (NAND) flash, dynamic random-access memory (DRAM), and static random-access memory (SRAM). Among all these, the demand for DRAM has been the highest up till now, owing to their effective storage of data and relatively low cost. Both commercial and passenger vehicles generate data, thereby creating a need for memory; however, the largest demand for memory was created by passenger cars in the past. This is because of the fact that passenger vehicles are produced more than commercial vehicles. Furthermore, new technologies are first implemented in passenger vehicles for testing purposes in the automotive industry.

In the past, North America emerged as the largest memory market for autonomous and connected vehicles, and the situation is predicted to be the same in the coming years as well. This can be ascribed to the presence of a large number of automotive technology companies and increasing sales of connected and autonomous vehicles in the region. Moreover, the disposable income in people in North America is high as well, owing to which, they are able to spend more on luxury vehicles that are equipped with advanced, connectivity, safety, and autonomous features.

Hence, the demand for memory in autonomous and connected vehicles is growing due to the increasing demand for safety features in vehicles.

Source: P&S Intelligence